26 to 30 of 30 ONNX Jobs

NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads ...

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot ...

optimize open-source SLMs (e.g., Gemma 3, Llama 3) and vision-language models for execution on low-power edge runtimes (LiteRT/TensorFlow Lite, ONNX Runtime, ExecuTorch). Knowledge Analytics & Graph Processing: Design, implement, and maintain lightweight on-device graph databases and relationship extraction pipelines (Python, Rust, or C++ … V1.1/Dependable AI ). ML & Edge Inference Mastery 3+ years of production experience deploying ML models to edge runtime environments (LiteRT/TFLite, ONNX, C++ bindings). Experience in model quantization techniques (INT8, INT4, AWQ) and execution acceleration across NPU/GPU hardware. Proficiency in Python and PyTorch/ ...

specific needs. Dive deep into the entire stack, from Kubernetes and container orchestration, through gRPC‐based service communication, to the performance tuning of ONNX‐based inference on GPU‐accelerated hardware. Write clean, efficient, and rigorously tested code. We value simplicity, correctness, and peer review. What you'll bring … challenges of managing the lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job‐queueing systems before and have the scars to prove it. Maybe ...

system reliability for vehicle-mounted, battery-conscious devices**Vision AI & Camera Systems*** Integrate, optimise and deploy computer vision models on edge hardware (TensorFlow Lite, ONNX Runtime), including quantisation and hardware acceleration (NPU/GPU/DSP)* Develop and tune the camera pipeline (V4L2, ISP configuration) for automotive imaging conditions* Define … workflows* Proven experience deploying and optimising ML/computer vision models on edge hardware, including quantisation and hardware acceleration (e.g. TensorFlow Lite, ONNX Runtime)* Experience with computer vision frameworks and models (OpenCV, YOLO-class detectors)* Experience with camera subsystems and pipelines (V4L2, ISP tuning, MIPI-CSI)* Track record of taking ...